Percival, IA
Percival wildfire risk explained
Out of every US place USFS scores, Percival lands at the 36th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 82 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Percival at the 34th percentile, close to its 36th-percentile risk score.
Percival's building exposure, zone by zone
USFS classifies 79.3% of Percival's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 20.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Percival against the rest of the country
Compare Percival's two percentiles: 51st within Iowa, only 36th nationally — a gap of 15 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Percival ranks 20,196 for wildfire risk (1 is highest) and 29,797 by building count (1 is largest). Within Iowa alone, it ranks 500 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in Percival
Percival's moderate wildfire rating (36th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
With 79.3% of buildings rated Minimal exposure, Percival gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Percival's figures come from
Every one of the two percentiles behind Percival's 20,196-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Percival's dominant minimal exposure actually means, with real examples from across the dataset.